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How to Use the Obsidian Publish MCP in Google ADK

Link your Google ADK agents to Obsidian Publish to reason over your private knowledge base.

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Google ADK

Connect Obsidian Publish MCP to Google ADK

Create your Vinkius account to connect Obsidian Publish to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Deep knowledge crawling for Google ADK

Your agent uses `list_navigation` to traverse your vault's hierarchy. It builds an internal graph of your knowledge before performing any deep-dive queries. This method is faster than manual searching. It allows your agent to find related notes by following your existing folder structure and link mappings.

Contextual metadata extraction

The agent uses `get_metadata` to filter notes by creation hashes and frontmatter properties. This allows it to ignore irrelevant files and focus on core content. It then retrieves specific markdown content via `get_file`. This targeted approach keeps your Gemini long-context window optimized for relevant information only.

Enterprise-ready site discovery

Your agent calls `site_info` to map global site settings. It understands your site's layout, ensuring it interprets your markdown files with the correct context. This integration is designed for production environments. It works alongside your existing Google Cloud infrastructure to provide accurate answers from your notes.

Setup guide

Set up Obsidian Publish MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Obsidian Publish tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Obsidian Publish_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Obsidian Publish tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Obsidian Publish. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Obsidian Publish MCP in Google ADK

Install the toolset using the `McpToolset` class. Provide your server parameters, and pass the object to your `LlmAgent` instance.
You can use the `tool_names` filter in your `McpToolset` configuration. This restricts the agent to only the tools you explicitly permit.
It supports both transport methods. Most users choose HTTP for better scalability when running agents on Google Cloud infrastructure.
The agent will detect the change during its next `list_files` or `list_navigation` call. It dynamically updates its knowledge of your site's topology.
Data is transmitted through an encrypted tunnel. The server only accesses your markdown files and associated site metadata, keeping your private knowledge isolated.

Start using the Obsidian Publish MCP today

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Built & Managed by Vinkius 30s setup 5 tools

We've already built the connector for Obsidian Publish. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
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